iWildCam-WILDS, adapted from iWildCam 2020 competition dataset [1]}, contains \(129,809\)  images of 182 species (including “no animal”) in the train set where the images are taken by 243 camera traps deployed all over the world. The in-distribution test set comprises \(8,154\)  images taken by the same 243 camera traps. The goal is to identify the animal species, if any, within each photo and due to the data challenges such as camouflage, blur, occlusion, motion, perspective etc, the task is quite challenging.
